ANALISIS EKONOMI PROGRAM KAWASAN INDUSTRI AGRO TERPADU (KIAT) PROVINSI GORONTALO

This research has been conducted in the Integrated Agro Industrial Area (TIP) Province of Gorontalo in November 2010 using the data and using linear programming models. The research aims to find the product combination of corn chips, nuts disco, peanuts eggs should be produced to achieve maximum profit, find out how much the maximum advantage can be achieved by TIPS, and TIPS determine the pattern of production, it is optimal or not. The results showed that the combination product should be produced (packaging / wrappers) sequentially from X1 to X13 are 2545, 314, 76.130, 344, 509, 331, 172, 7, 311, 180, 854, 7. The combination product is a combination of products that can provide maximum benefit. The maximum profit that can be achieved by following the TIP with the combination product that is equal to Rp8.770.206. This advantage is greater than the actual clappers TIPS. TIPS production pattern is not optimal, because for some products there is still a considerable difference between the optimal production and actual production in which the optimal production gives better results (large), and also there is no actual product produced equal to optimal production

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KOMBINASI PRODUKSI OPTIMAL PADA PRODUK UD. SERAYU PEJATEN TABANAN

E-Jurnal Manajemen Universitas Udayana ◽

10.24843/ejmunud.2021.v10.i08.p02 ◽

2021 ◽

Vol 10 (8) ◽

pp. 759

Author(s):

I Putu Pujanam Surya Buana ◽

Ni Ketut Purnawati

Keyword(s):

Linear Programming ◽

Optimal Number ◽

Production Optimization ◽

Net Income ◽

Optimal Production ◽

Maximum Profit ◽

Net Profit ◽

Before And After ◽

Production Strategy ◽

Programming Analysis

Production planning is series of activities to determine a production strategy to meet consumer demand. An optimal production resulting in maximum profit. The purpose of this study is to determine the optimal production combination at UD. Serayu in Pejaten Village, Kerambitan District, Tabanan Regency. This study uses linear programming analysis and analysis of calculating business net income. Based on the results of linear programming analysis using POMQM for Windows, the company's optimal production combination are 30,000 units, Terracotta Bricks 4,536 units, Pressed Roof Tile 24,600 units and Bubungan (roof) 20,400 units. The net profit generated for one month is Rp. 71,208,038.02 while the net profit generated by producing the optimal number of product combinations is Rp. 75,849,726.02. Linear programming analysis helps companies determine the optimal production combination for limited resources and analysis of net profit helps to compare operating profits before and after the optimal production combination. Keywords: production optimization, linear programming, maximum profit

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Penerapan Linear Programming untuk Mengoptimalkan Jumlah Produksi dalam Memperoleh Keuntungan Maksimal pada CV Cipta Unggul Pratama

The Winners ◽

10.21512/tw.v14i1.645 ◽

2013 ◽

Vol 14 (1) ◽

pp. 55

Author(s):

Sugiarto Christian

Keyword(s):

Linear Programming ◽

Demand Forecasting ◽

Raw Material ◽

Linear Programming Method ◽

Territorial Expansion ◽

Maximum Profit ◽

Maximum Benefit ◽

Formal Employment ◽

The Right ◽

Sports Shoes

The purpose of this study is to investigate and understand the barriers and optimize the combination of products in production quantities to gain maximum profit in CV Cipta Unggul Pratama. This study used quantitative approach with survey to collect data. Analysis used forecasting and linear programming method. This analysis was used to combine the right amount of products to get maximum benefit of CV Cipta Unggul Pratama. The results achieved in this research is to know the company in the form of barriers to raw material shortages of 875 m2, labor hours by 4,368 hours, demand forecasting as many as 230 pairs of school shoes, 344 pairs of sports shoes, 450 pairs of shoes and formal employment. The company also had to produce 230 pairs of school shoes, 344 pairs of sports shoes, 450 pairs of shoes and formal employment. Based on the results obtained, research suggested CV Cipta Unggul Pratama makes plans to increase production and to improve the company needs to expand its production or marketing of products territorial expansion.

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OPTIMALISASI USAHATANI SAYUR TUMPANGSARI DI DESA SUKORAMBI KECAMATAN SUKORAMBI KABUPATEN JEMBER

JSEP (Journal of Social and Agricultural Economics) ◽

10.19184/jsep.v13i2.15124 ◽

2020 ◽

Vol 13 (2) ◽

pp. 125

Author(s):

Berilisda Jepatrika Dirga Buana ◽

Anik Suwandari

Keyword(s):

Linear Programming ◽

Sampling Technique ◽

Production Factors ◽

Maximum Profit ◽

Maximum Benefit ◽

Vegetable Farming ◽

Quota Sampling

The implementation of intercropping systems is considered by farmers to be able to overcome the problem of low productivity and fluctuations in vegetable prices. The purpose of this study was to determine Combination of intercropping vegetable farming that provides maximum benefits. The determination of the study area was carried out using a purposive method. The sampling technique uses quota sampling. The method of analysis uses linear programming. The results showed that (1) the maximum benefit of the intercropping model 1 was obtained by planting green mustard and spinach, the intercropping model 2 planting green mustard, spinach and kale, the intercropping model 3 planting green mustard, spinach and basil, the intercropping model 4 planting spinach, green mustard, marigolds and basil. (2) Rare production factors are spinach land on intercropping models 1, 2, 3 and 4, basil land on intercropping model 4, ZA fertilizer on intercropping model 1, manure on intercropping models 2, 3 and 4, callicron pesticide on intercropping model 2 and 4 as well as the amnistar top pesticides in intercropping model 3. (3) The highest increase in maximum profit conditions is in the intercropping model 4 by 15.7% and the lowest in the intercropping model 1 by 13.6%.

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Maksimalisasi Keuntungan Dengan Pendekatan Metode Simpleks Kasus Pada Pabrik Sosis SM

Liquidity ◽

10.32546/lq.v2i1.130 ◽

2018 ◽

Vol 2 (1) ◽

pp. 59-65 ◽

Cited By ~ 2

Author(s):

Yanti Budiasih

Keyword(s):

Linear Programming ◽

Simplex Method ◽

Optimal Combination ◽

Optimal Input ◽

Maximum Profit ◽

Input Combination

The purpose of this study are to (1) determine the combination of inputs used in producing products such as beef sausages and veal sausage meatball; and (2) determine the optimal combination whether the product can provide the maximum profit. In order to determine the combination of inputs and maximum benefits can be used linear programming with graphical and simplex method. The valuation result shows that the optimal input combination would give a profit of Rp. 1.115 million per day.

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MAKSIMASI KEUNTUNGAN USAHA PUKAT CINCIN DI NEGERI LATUHALAT PADA MUSIM TIMUR

PAPALELE (Jurnal Penelitian Sosial Ekonomi Perikanan dan Kelautan) ◽

10.30598/papalele.2018.2.1.22 ◽

2018 ◽

Vol 2 (1) ◽

pp. 22-32

Author(s):

Willem Talakua ◽

Eygner Gerald Talakua

Keyword(s):

Linear Programming ◽

Production Factors ◽

Maximum Profit ◽

Analysis Methods ◽

Profit Analysis ◽

Business Profit ◽

Programming Analysis

The purpose of this study is to study the maximization of business profits through the determination of the optimal use of production factors in the trawl ring business in Latuhalat. Observations and direct interviews based on questionnaires were carried out on 3 fishermen who owned trawl ring businesses in 3 hamlets in Latuhalat. Data were analyzed using business profit analysis methods and linear programming analysis. The results showed that: 1). The optimal use of production factors for trawling by the respondents in Latuhalat is 41 - 45 trips in June using 15.2 - 21.1 liters of gasoline, 280.9 - 304.4 liters of gasoline, 10.1 - 21 , 2 liters of oil, using labor as much as 15-17 people for 8 hours / day, and using transportation and FAD services as much as 351.3 - 360 HOK or 8 hours per day; and 2). The maximum profit that can be obtained from trawling rings by respondents in Latuhalat is Rp. 165,545,500 - up to Rp. 184,800,000, - in June. To achieve this maximum profit, respondents need to produce 25,270.3 kg of fish to 27,540.98 kg in June.

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